Sr. Solutions Engineer (Thailand)

DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Databricks AsiaPac is seeking a Sr. Solutions Engineer to independently lead technical engagements, from discovery through solution design and live platform demonstrations. You will own frontline customer relationships and work with your Account Executive to expand Databricks adoption.

You are a builder who can code, architect, and present, combining technical depth with customer-facing skills to drive platform usage across data engineering, analytics, and ML workloads.

Qualifications

• 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role.
• Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code - live coding is a required interview stage.
• Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP).
• Working knowledge of distributed data systems: Spark, Delta Lake, or equivalent.

Responsibilities

• Lead technical engagements for customers, owning discovery, solution design, and platform demonstrations.
• Build and deliver proofs-of-concept and live demos on the Databricks Platform to drive technical wins.
• Own frontline technical relationships with customer engineers, data teams, and technical leads.
• Develop account-level technical strategies with the Account Executive to grow platform consumption.
• Articulate differentiation through hands-on demonstrations in competitive landscapes.
• Contribute reusable technical assets to the SA community.

Skills

Python

SQL

Live coding

Presentation

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

Tools

Databricks Platform

Unity Catalog

MLflow

Spark

Job description

The Role

As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present-combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.

The Impact You Will Have

• Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
• Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
• Own frontline technical relationships with customer engineers, data teams, and technical leads
• Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
• Navigate competitive landscapes by articulating Databricks differentiation through hands‑on demonstrations
• Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community

What We Look For

• 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands‑on consulting role
• Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code - live coding is a required interview stage
• Hands‑on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
• Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
• Experience leading technical customer conversations - discovery, whiteboarding, architecture reviews
• Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
• Strong presentation and demo skills - you will build and present a live solution during the interview
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• Databricks certification or experience with the Databricks Platform
• Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
• Background at a data/AI company, cloud provider, or technical consulting firm
• Proficiency in the Thai Language is required as this role serves clients based in Thailand and involves direct customer communications in the Thai Language

Interview Process:

Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check